Instructions to use ottopilot/SindyPerez with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ottopilot/SindyPerez with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/v1-5-pruned-v6", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ottopilot/SindyPerez") prompt = "RAW photo, candid, medium shot, SndyPrz, sitting, short hair, bangs, business casual clothing, sfw, indoors, office, silicon valley, hard-working <lora:SndyPrz_v1:0.9> <lora:XenoDetailer_v2:0.6>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload 5 files
Browse files- images/00149-2421544536.png +3 -0
- images/00158-2421544536.png +3 -0
- images/00190-59399718.png +3 -0
- images/00206-2148450288.png +3 -0
- images/00219-1990271950.png +3 -0
images/00149-2421544536.png
ADDED
|
Git LFS Details
|
images/00158-2421544536.png
ADDED
|
Git LFS Details
|
images/00190-59399718.png
ADDED
|
Git LFS Details
|
images/00206-2148450288.png
ADDED
|
Git LFS Details
|
images/00219-1990271950.png
ADDED
|
Git LFS Details
|